
Explainer 05 – Digital Object Identifiers
The Johns Hopkins University Open Source Programs Office (OSPO) is happy to announce the next in our Explainer series, a collection of bite-sized videos tackling a variety of open-source essentials. […]
All things open source for Johns Hopkins University
The Open Source Programs Office serves as a central hub, empowering the Hopkins community to create, contribute to, and benefit from the full potential of open source software.
Innovative open source projects from Johns Hopkins University
The Johns Hopkins University Open Source Programs Office (OSPO) is happy to announce the next in our Explainer series, a collection of bite-sized videos tackling a variety of open-source essentials. […]
Join us for a celebration of open source innovation and collaboration! The Johns Hopkins University Open Source Programs Office (OSPO) would like to invite you to the culminating event of […]
The Johns Hopkins University Open Source Programs Office (OSPO) is happy to announce the next in our Explainer series, a collection of bite-sized videos tackling a variety of open-source essentials. […]
The OAR (observed at random) score reveals cellular transcriptional shifts, allowing cell prioritization for downstream applications. For best results, apply the test to group of cells where you expect some common transcriptional programs - i.e. one cell type across various biological samples or conditions. OAR scores are cluster agnostic (no cluster labels are required) and are robust across: Technologies, Technical batches/library preparations, and Organisms.
Galaxy is an open-source scientific workflow system designed to make research accessible, reproducible, and transparent. Originally developed for computational biology, Galaxy has evolved into a domain-agnostic framework utilized across various scientific disciplines.